본문 바로가기
반응형

논문572

[2023-07-12] 오늘의 자연어처리 DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge Graphs Recent work within the Argument Mining community has shown the applicability of Natural Language Processing systems for solving problems found within competitive debate. One of the most important tasks within competitive debate is for debaters to create high quality debate cases. We show that effective debate cases ca.. 2023. 7. 12.
[2023-07-11] 오늘의 자연어처리 Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations This research focuses on assessing the ability of large language models (LLMs) in representing geometries and their spatial relations. We utilize LLMs including GPT-2 and BERT to encode the well-known text (WKT) format of geometries and then feed their embeddings into clas.. 2023. 7. 11.
[2023-07-10] 오늘의 자연어처리 Efficient Semiring-Weighted Earley Parsing This paper provides a reference description, in the form of a deduction system, of Earley's (1970) context-free parsing algorithm with various speed-ups. Our presentation includes a known worst-case runtime improvement from Earley's $O (N^3|G||R|)$, which is unworkable for the large grammars that arise in natural language processing, to $O (N^3|G|)$, wh.. 2023. 7. 10.
[2023-07-09] 오늘의 자연어처리 Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting Zero-shot cross-domain slot filling aims to transfer knowledge from the labeled source domain to the unlabeled target domain. Existing models either encode slot descriptions and examples or design handcrafted question templates using heuristic rules, suffering from poor generalization capability or robustne.. 2023. 7. 9.
반응형